Edgar F. Roman-Rangel is currently a visiting researcher at the department of digital systems of the Instituto Tecnológico Autónomo de México (ITAM), where he conducts research in the area of intersection of computer vision, representation learning, and cross-modal signal processing, applied to cultural and societal challenges.
Previous to this appointment, he was a postdoctoral researcher at the CVM-Lab of the University of Geneva from 2013 to 2017, with a break during 2014 and 2015 in which he was a visiting researcher at the National Institute of Anthropology and History of Mexico (INAH). Edgar received his Ph.D. degree in 2013 from the École Polytechnique Fédérale de Lausanne (EPFL) for his work in computer vision and machine learning applied to the analysis of imagery of Mayan hieroglyphs; and he obtained his master diploma in 2006 from the Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM).
Besides his research and academic experience in Computer Vision and Machine Learning, he also has experience also in the banking sector, where he has provided consulting services in statistics and machine learning, and leading development software projects.
Topics of Interest
- Computer Vision
- Machine learning
- Deep Learning
- Representation Learning
- Cross-Modal Signal Processing